Why Pearson's r is Not a Good Similarity Coefficient for Comparing Collections
Datos Bibliográficos
| ID | 2575505 |
|---|---|
| Autores | George L Cowgill (Arizona State University, autor de correspondencia) |
| Año | 1990 |
| Volumen | 55 |
| Número | 3 |
| Páginas | 512-521 |
| Fecha de publicación | 1990-07-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | American Antiquity (JOURNAL) |
| Identificadores de la revista | ISSN: 0002-7316 • E-ISSN: 2325-5064 |
| Editorial | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.2307/281281 |
| OpenAlex | W2320493015 |
| Idioma | EN |
| Citas recibidas | 28 |
| Referencias citadas | 4 |
Pearson's coefficient of linear correlation, r, sometimes is used to express the similarity between two archaeological collections when each collection is characterized by the percents of the artifact types it includes. Examples show that r can be extremely misleading when used in this way, and patterns of similarity among a group of collections can be wildly misrepresented. The Brainerd-Robinson statistic is one example of a similarity coefficient that is much better than r for comparing collections
Artifact (error) · Correlation coefficient · Pearson product-moment correlation coefficient · Similarity (geometry) · Statistic · Statistics · Artificial Intelligence · Computer Science · Geochemistry and Geologic Mapping · Image Processing and 3D Reconstruction · Mathematics · Time Series Analysis and Forecasting
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| Obras citantes distintas | 28 |
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| Citas por año | 0,82 |
| Intervalo de citas | 1992 - 2027 (36) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 26 |